reliable so˜ware engineering information management ... · computer network, architecture and high...

FACULTY OF COMPUTER SCIENCEUNIVERSITAS INDONESIA

RESEARCHPROFILE

Reliable So�ware Engineering

High Performance Computing

Computer NetworksComputer Architecture Machine Learning

Computer Vision

Information Retrieval

E-Business

E-Government

Digital Library

Distance Learning

Information Management

�e establishment of the Faculty of Computer Science (FASILKOM UI) stemmed from the founding of Universitas Indonesia’s Com-puting Centre (PUSILKOM UI) in 1972. �is institution was estab-lished with the aim of developing the area of computer science in Indonesia.

�e centralization of computer science related equipment and trained personel in PUSILKOM UI over the next few years, along with the increased demand for graduates in the �eld meant that it was time for UI to create a program os study speci�cally in this �eld. 1986 saw the commencement of the undergraduate level program in Computer Science, with a masters program following suit in 1988. 1993 saw the formation of �e Faculty of Computer Science; all of UI’s existing programs of study in computer science were then organized under this faculty.

PUSILKOM UI became the academic business unit of the faculty in 2005. �is unit business is the facility for th sta�s of Fasilkom UI for their public service dedicated for the society.

ABOUT FACULTY OF COMPUTER SCIENCE

THE HISTORY

Faculty of Computer Science Universitas Indonesia (FASILKOM UI) strives to maintain its position as an internationally acclaimed hub for research and education in the �eld of CS and IT in Indonesia. FASILKOM UI also strives to maintain its health and integrity as an organization, as well as to continue working towards

Indonesia’s advancement in these �elds.

VISION

FASILKOM UI has the following mission statement:We strive to: (1) Produce graduates that are globally competitive. (2) Create, develop, and implement advances in information and communication technology that will be ben�cal to the development of Indonesia as a nation. (3) Be Morally and socially responsible in our activities, ensuring that our sta� and graduates upholds

FASILKOM UI’s principal values.

MISSION

ORGANIZATIONAL CULTUREFASILKOM UI aims to provide high-quality, intelligently designed and well-organized service to the community, adhering

to the faculty motto of “Excellence in Teamwork.”�e diversity of the academic programs o�ered illustrates FASILKOM UI’s commitment towards ful�lling the commmunity’s needs for knowledge in CS and IT. FASILKOM UI designs academic activities that integrates education, research, and duty to the community. All our human resources are deployed to facilitate those three aspects, in line with the high demand of skilled

workforce in CS and IT �elds.

RESEARCH LABORATORIES

1. Digital Library and Distance Learning2. E-Government & E-Business3. Reliable So�ware Engineering4. Computer Networks, Architecture, and High Performance Computing5. Machine Learning and Computer Vision6. Information Retrieval7. Information Management


-i-

VISION AND MISSION

Computer Network, Architecture and High Performance Computing Laboratory Pro�le 1 Research Dissemination 2Information Retrieval Laboratory Pro�le 3 Research Dissemination 4Reliable So�ware Engineering Laboratory Pro�le 5 Research Dissemination 6Digital Library & Distance Learning Laboratory Pro�le 7 Research Dissemination 8E-Government & E Business Laboratory Pro�le 9 Research Dissemination 10Machine Learning & Computer Vision Laboratory Pro�le 11 Research Dissemination 12Information Management Laboratory Pro�le 13 Research Dissemination 14

ABOUT FACULTY OF COMPUTER SCIENCE

TABLE OF CONTENTS


-ii-

RESEARCH OVERVIEW RESEARCH FUNDING

Universitas Indonesia (UI) as the oldest university in Indonesia has a vision to be a world class Research University. Faculty of Computer Science is one of the faculty that support the vision. To achieve its vision, Faculty of Computer Science UI try to improve both our quantity and quality publications. Faculty of Computer Science UI always encourages its researchers to improve their quality of research and publish the results. In recents 5 years, Faculty of Computer Science has more than 100 research grants and it result an International Journal and Conferences.

Since 2011, there have been a lot of researches conducted by Faculty of Computer Science Universitas Indonesia’s research-ers. In 2013, Faculty of Computer Science Universitas Indone-sia’s total research funding more than IDR 4 Billions which is the highest total research funding until 2015. Our research funding comes not only from Universitas Indonesia but also comes from Indonesian Government and other research grants. In order to improve our funding for research activities, we plan to make more research agreements between universi-

ties around the world.

�is lab is a research-oriented lab focusing on three main areas: Computer Networks, Com-puter Architecture, and High Performance Computing.One of the main expected outputs from this lab is having analytic skill in computer archi-tecture and its performance as well as the ability to design simple computer systems such as robots. Recent research topics from this lab are in the �eld of biomedics, drugs design using GPU, and tra�c information.

COMPUTER NETWORKS, ARCHITECTURE AND HIGH PERFORMANCE COMPUTINGLABORATORY PROFILE

DESCRIPTION


-1-

1. Indonesia Cyber Defense Framework2. Next Generation Networking3. Wireless Sensor Network4. Odor Source Localization, Swarm Robot5. Tra�c Signal Control System6. Autonomous Telecommunication Networks7. Smart Cardio Device8. Smart Ultrasonography for Telehealth9. Smart Home System10. Grid/High Performance Computing, etc

1. (2015-2016) Intellegent Tra�c System For Sustainable Environment2. (2015-2016) Sistem Pemantauan Konsentrasi CO2 Menggunakan Wireless Sensor Network Sebagai Langkah Strategis Dalam Menghadapi Isu Perubahan Iklim3. (2015-2016) Integrating Powerful Graphical Process-ing Unit Into Cloud Computing Prototype Platform To Support Drug Discovery Processes Based On Indonesia Medical Plants 4. (2015-2016) Sistem Social Internet Of �ings (IOT) Untuk Ruang Dan Lingkungan Cerdas (Smart Space) Berbasis Informasi Konteks Dari Crowdsourcing, etc

RESEARCH TOPICS RESEARCH GRANTS

Setiadi Yazid, Ph.D.Head of Laboratory

1. Adhi Yuniarto L.Y., M.Kom.2. Amril Syalim, M.Eng.3. Ari Wibisono, M.Kom.4. Bayu Anggoro Jati, Ph.D.5. Bob Hardian Syahbuddin, Ph.D.6. Erde� Rakun, M.Sc.7. Gladhi Guarddin, M.Kom.8. Hadaiq Rolis Sanabila, M.Kom.9. Heru Suhartanto, Ph.D., Prof.10. Heri Kurniawan, S.Kom., M.Kom.

11. M Anwar Ma'sum, M.Kom.12. Muhammad Ha�zhuddin Hilman, M.Kom.13. Petrus Mursanto, M.Sc., Dr.14. Rizal F Aji, M.Kom.15. Widijanto Satyo Nugroho, Ph.D.16. Wisnu Jatmiko, Dr.Eng.17. Yulistiyan Wardhana, M.Kom.

LABORATORY MEMBERS

WEBSITE: http://cnahpc.cs.ui.ac.id


-2-

Indonesia have a high mortality rate caused by heart and cardio vascular diseases. One of the major factors that caused this issue is the lack of medical check up especially for heart monitoring. It is caused by the limited number of medical instrumentation e.g. ECG in hospitals and public health centers. Anoth-er factor is the small number of cardiologist in Indonesia. �e are only 365 cardiologists across the country, which is a very small number compared to the 250 million of Indonesia population. Further-more, they are not distributed evenly in all provinces, but centered in Jakarta and other major cities. Meanwhile, Indonesia also has similar problem in health area. High number of fetal and mother mortality becomes a serious problem. One of the major factors is the lack of fetal growth monitoring. It is caused by the limited number of USG device and Obstetricians in Indonesia. �erefore, fetal growth monitoring is

Background

�e Tele-ECG system has three main components: an ECG sensor, a smartphone, and server. ECG sensor is used to acquire heartbeat signal from patient. �ere are baseline wandring removal (BWR), beat segmentation, and wavelet for dimensionality reduction. A�erwards, the signal can be classi�ed to predict the patient's condition automatically.Tele-USG System has 2 main components, they are the smartphone and server. In Tele-USG system, we have not developed hardware yet, due to the complexity of the USG sensor. In this system we used ultrasound image captured from conventional USG devices. So�ware installed in the patient's smartphone is used to monitor fetal growth.

Method

We have been developing classi�er algorithm named ANGLVQ to classify hwRT heart beat signal. �e performance of the algorithm is above 95%. Next, the signal is sent to server to be veri�ed by cardiolo-gists. To provide fast transmission, we �rst compressed the signal. For compression, we used 2D SPIHT compression. �e error of the compression is relatively low, which is 3,46% for 24 compression ratio.�e so�ware can compute HC, BPD, AC, FL, and HL from head, abdomen, femur and humerus organs. For this automated computation we have been developing Hough Transform based curve approximation. Fetal head and abdomen can be approximated by ellipse curve, whereas fetal femur and humerus was approximated by line curve. �e approximation algorithm has less than 10% error.

Results

Clinics

Doctors

Patients

SmartTelehealth

DEVELOPING SMART TELEHEALTH SYSTEM IN INDONESIA: PROGRESS AND CHALLENGEWisnu Jatmiko, M Anwar Ma’sum, Sani M Isa, Elly M Imah, Robeth Rahmatullah

COMPUTER NETWORKS, ARCHITECTURE AND HIGH PERFORMANCE COMPUTINGRESEARCH DISSEMINATION

INFORMATION RETRIEVALLABORATORY PROFILE

DESCRIPTION


-3-


Mirna Adriani, Ph.D.Head of Laboratory

DESCRIPTION

1. Alfan Farizki Wicaksono, M.Sc.2. Amalia Zahra, M.Kom.3. Aniati Murni Arymurthy, Prof.4. Arlisa Yuliawati, M.Kom.5. Indra Budi, M.Kom., Dr.6. Bayu Distiawan T, M.Kom.7. Clara Vania, M.Kom.8. Dana Indra Sensuse, Ph.D.9. Ito Wasito, Ph.D.10. Meganingrum Arista Jiwanggi, M.Kom.

11. R Yugo Kartono Isal, Dr.12. Rahmad Mahendra, M.Kom.13. Wahyu Catur Wibowo, Ph.D.14. Wisnu Jatmiko, Dr.Eng.15. Zainal A Hasibuan, Ph.D., Prof.

LABORATORY MEMBERS

WEBSITE:

�e Information Retrival Lab at the Faculty of Computer Science, Universitas Indonesia, focuses mainly on the research areas of Infor-mation Retrieval and Computational Linguistics.Information retrieval seeks to explore the methods and techniques of organizing, repre-senting, storing, and searching of informa-tion in textual and multimedia forms.

1. Data Mining2. Computational Linguistics3. Natural Language Processing - Named Entity Recognition - Information Extraction - Creative Text Reconstruction4. Information Retrieval - Text - Multimedia - Peer to Peer and Social Media Analysis5. Plagiarism Detection, etc

1. (2015) Sibi : Sistem Isyarat Bahasa Indone-sia 2. (2014) Pengembangan Korpus Bahasa Daerah di Indonesia Menggunakan Data Social Media Dan Wikipedia3. (2014) Analisis Trend, Overlap, Dan Plagiarisme Pada Teks Bahasa Indonesia Sebagai Upaya Peningkatan Kualitas Penge-lolaan Kegiatan Hibah Penelitian, etc

http://ir.cs.ui.ac.id


-4-

Description

BUZZER DETECTION AND SENTIMENT ANALYSIS FOR PREDICTING PRESIDENTIAL ELECTION RESULTS IN A TWITTER NATION

Mochamad Ibrahim, Omar Abdillah, Alfan F. Wicaksono, Mirna Adriani

We explore the possibility of easy-to-gather Twitter data to be utilized as a survey support-ing tool to understand public opinion.We pres-ent our approach for predicting the results of Indonesian Presidential Election using Twitter as our main resource.

Time Period Analysis

Features for Buzzer Detection

User Interface

User:Normal UserPaid UserComputer User

Sentiment:Positive OpinionNegative Opinion

46.65 KPU 53.1546.24 System Prediction 53.76

Mean Average Error (MAE)0.61

INFORMATION RETRIEVALRESEARCH DISSEMINATION

RSE Lab focuses on the development of quality so�ware from many factors, including �exibility, maintanability, testability and etc. Conformity to user requirements and problems when operating a large-scale so�ware is also other factors in�uenced the success of so�ware development. �is Lab is also linked to the issue of requirement gathering, deployment and the current problems in so�ware development. Research in this lab also deepen the theories of computation that yield new innova-tions and to be expected to produce the right information technology in order to increase the independence and competitiveness of the nation.

RELIABLE SOFTWARE ENGINEERINGLABORATORY PROFILE

DESCRIPTION


-5-

1. Discrete Mathematics2. �eorem Prover3. Program Re�nement4. Model Checker5. Graph Mining6. So�ware Quality Assurance7. Program Veri�cation8. So�ware Correctness and Reliability9. Security Protocol10. Computational Logic11. So�ware Testing and Testbed Generator

1. (2015-2016) Exploratory Large Scale Intellectual Property Document Database System2. (2016) Pengembangan Model Social Crm Framework Pada Perguruan Tinggi3. (2014) Perangkat Lunak Bantu Untuk Rekonstruksi Srs Dari Perangkat Lunak Jadi, etc


Eko K Budiarjo, Ph.D.Head of Laboratory

1. Ade Azurat, Dr. 2. Adila A Krisnadhi, M.Sc., Dr. 3. A�fun, M.Kom.4. Agus Kurniawan, M.Si.5. Amril Syalim, M.Eng.6. Ari Saptawijaya, M.Sc., Ph.D.7. Belawati H Widjaja, Ph.D., Prof.8. Daya Adianto, S.Kom., M.Kom.9. Heru Suhartanto, Ph.D., Prof.10. Iis Solichah, S.Kom., M.Kom.

11. Lim Yohanes Stefanus, Ph.D.12. Maya Retno Ayu S, M.Kom.13. Rahmat M Samik Ibrahim, M.Kom.14. Nurul Qomariyah, M.Kom.15. T Basaruddin, Ph.D., Prof.16. Siti Aminah, M.Kom.17. Widijanto Satyo Nugroho, Ph.D.

LABORATORY MEMBERS

WEBSITE: http://rse.cs.ui.ac.id


-6-

Abstract

PRICES (PRECISE REQUIREMENT CHANGES INTEGRATED SYSTEM)Ade Azurat, Maya R A Setyautami, Muhammad I Fadillah, Salman El Farisi, Ricky T Gultom,

Rangga Hadisurya, Niken F Apriani and Kandito A Wicaksono

Modeling phase in so�ware development holds important role to create suitable requirement to the user’s needs. However, requirement changes from the user can cause di�culty because developer must redesign the model. �is issue has been anticipated by a modeling approach, called delta modeling. Requirement changes mechanism using delta modeling can increase e�ciency and quality of so�ware development. �is new approach is di�cult to be implemented by developers who are already used to the traditional methods. �erefore there has to be a systematic mechanism to map the design from standard and traditional approach to the new approach, which is tried to be realized by this research. One of the newest technology, which already implements delta modeling approach, is ABS (Abstract Behavioral Speci�cation). PRICES research is conducted through several phases. �e initiation phase aims to develop translation mechanism from traditional model-ing, which are UML Class Diagram, Feature Diagram, and UML Statecharts, into ABS model using ABS Pro�le. Besides that, this research also develops speci�c unit test for delta testing support. Mapping mechanism from ABS model to relational database schema is also developed in this research to adjust with popular database approach nowadays. �is research also develops ABS-MVC Framework to develop web-based So�ware Product Line using ABS. �e �nal phase of this research is to integrate the previous results into a so�ware development tool which is adaptive towards requirement changes. �is research uses donation report for charity organizations as the case study.

ABS (Abstract Behavioral Speci�cation) is a model-ing language that was developed during the course of HATS (Highly Adaptable and Trustworthy So�ware using Formal Method), an Integrated Project supported by the 7th Framework Program of the EC within the FET (Future and Emerging Technologies) scheme. �is project is expanded in the new project called ENVISAGE (Engineering Virtualized Services) which is focused on SLA on Cloud Services. For detail information regarding these projects, kindly visit http://www.envis-age-project.eu/ and http://www.hats-project.eu/. We made a contribution to this modeling language in the form of supporting tools.

1. Translation mechanism from UML Class Diagram to ABS model using refactoring by ABS Pro�le.2. Tools to automatically translate UML Class Diagram, UML Statecharts, and feature diagram to ABS model.3. ABS-MVC (Model-View-Controller) Framework to develop web-based So�ware Product Line using ABS.4. Implementation of Architectural-Centric Model-Driven Web Engineering (AC-MDWE) Strategy to develop web applications using ABS.5. Delta-relational mapping to automatically map ABS model to relational database schema.6. Implementation of object relational mapping to develop web-based So�ware Product Line.

Description

Results

RELIABLE SOFTWARE ENGINEERINGRESEARCH DISSEMINATION

DIGITAL LIBRARY & DISTANCE LEARNINGLABORATORY PROFILE

DESCRIPTION


-7-


Harry Budi Santoso, Ph.D.Head of Laboratory

DESCRIPTION

1. Baginda Anggun Nan Cenka, M.Kom.2. Bilih Prayogi, M.Kom.3. Heri Kurniawan, M.Kom.4. Heru Suhartanto, Ph.D., Prof.5. Indra Budi, M.Kom., Dr.6. Kasiyah M Junus, Dra., M.Sc.7. Lia Sadita, M.Kom.8. Rizal F Aji, M.Kom.9. Siti Aminah, M.Kom.

10. Toemin Achmad Masoem, M.Sc., Dr., Prof.11. Zainal Ari�n Hasibuan, Ph.D., Prof.

LABORATORY MEMBERS

WEBSITE:

In general, all activities in Digital Library and Distance Learning Lab based on state of the art of how to develop information system. Research in Digital Library and Distance Learning �eld focused on serveral aspects, such as how to develop an e�ective and e�cient digital library, how to optimize the libraries resource sharing, contextual-retriev-al related to document collection’s distribu-tion, how to optimize harvest search and federated search, etc.

1. Digital Library2. Online and Distance Learning3. Multichannel Access4. Cloud Technology5. OER (Open Educational Resource)6. Semantic Web Technology7. Cognitive Systems and Self-Regulated Learning8. Interaction Design, Usability, and User Experience, etc

1. (2015-2016) Pengembangan Platform Indonesia-Open Educational Resources Berbasis Partisipasi Akademisi Dan Masyarakat2. (2015-2016) Strategi Meningkatkan Keter-ampilan Bernalar Matematis Menggunakan Self-Monitoring & Sca�olding-Based Assess-ment Pada Online Collaborative Learning 3. (2016) Pengembangan Personalisasi Objek Pembelajaran Dalam E-Learning Dengan Teknik Support Vector Machine, etc

http://dl2.cs.ui.ac.id


-8-

DESCRIPTION

PLATFORM DEVELOPMENT AND DESIGN EVALUATION OF THE INDONESIA OPEN EDUCATIONAL RESOURCESHarry b. Santoso, Baginda Anggun Nan Cenka, Bilih Priyogi

Yudhi Paramartha, & Zainal A. Hasibuan

Abstract Introduction �e Purpose of the present study

Overview

Around two-hundred million Indonesians live in the country’s over 17 thousand islands, leaving a big 'homework' for the government regarding education, particulary on how to increase the participation rate and quality of educational services. Currently, the gross participation rate is still below 30 percent. In addition, the Indonesian Human Development Index is still relatively low. Online distance education can be used to improve the quality of education and increase the number of students. �e Association of College and Universities in Indonesia, which o�ers educa-tional programs in computing, information systems, and technology (APTIKOM), has successfully designed a framework for Indone-sia Open Educational Resources (I-OER). �e framework consists of three components: Open Content (OCT), Open CourseWare (OCW), and Open Education (OED). Speci�-cally for OCT, ontologybased learning object searching technique is applied. �e present paper aims to discuss the concept of I-OER and the development of I-OER platform.

Geographically, Indonesia is vast and consists of various religions, ethnicities, and cultures. �e condition creates challenges to deliver education-al services equally. For example, the capacity of existing universities in Indonesia is still limited. It is closely related to the ratio between the number of students and the number of existingfaculties. Based on data from the Higher Educa-tion, the number of lecturers is currently about 270,579, comprising of 179,965 full-time and 90,614 part-time lecturers. When compared with the number of students (3,874,161), clearly, we must increase the number of educators to provide better education services. Education Statistics Center of Ministry of Education and Culture of Indonesia (Education Statistics Center, 2010) reveals the urgency to improve the quali�cation of lecturers in each college, in which there are only 5% educators with doctoral degree, 32% with master’s degree, and 56% with bachelor degree. Furthermore, the availability of academic programs is still limited.

to develop an Open Educational Resources platform by considering local contexts to apply multi-methods approach in evaluating user experience to provide recommendations for improving the platform.

APTIKOM OER (Indrajit, 2014)

Open Content (OCT) is a place where all the learning contents are stored and managed. OCT contributors are people or organizations that have learning contents in the form of presenta-tion slides, e-books, articles, modules and others. �e target of this OCT is the open learning contents that can be used by anyone as a reference and personal development. In the OCT, any person or organization that registers to the system can upload their learning contents, while maintaining its ownership. �e data in the OCT can be downloaded by anyone freely and openly.

Open Courseware (OCW) service o�ers learning resources in group of courseware. Information about the course is provided as much as possible, so that the learner can antici-pate the content before downloading the �les available.�e learning resources available include but are not limited to slide, lecture note, video, and audio. �e self-assessment material is also included, so that the learner is able to measure the result of their learning activity. OCW also provides searching facilities based on keyword in course description or in the learning resourc-es itself. �is service can be fully accessed without any registration or any payment involved.

Open Education can be viewed as the further development of Open Courseware, which does not only o�er learning resources but also educa-tion services online. �is concept is also a development of e-Learning concept in terms of openness and scalability, in which Open Educa-tion focuses to open the learning opportunity to everyone without any boundaries and is also designed to support massive number of partici-pants.Open Education service o�ers a complete learning environment to support learner’s learning activity. �e learning environment includes learning resources, learning assistant (lecturer), and assessment activity. Furthermore, there may be other learning activities such as discussion and online live lecture that occurred synchronously or asynchronously, depending on the needs of each course.

DIGITAL LIBRARY & DISTANCE LEARNINGRESEARCH DISSEMINATION

�is lab combines expertise and knowledge in IT (such as web services and applications, network architecture and security, data and information engineering, modeling of business processes, and human-computer interactions) that is related to the develop-ment and integration of e-Government and e-Business.

E-GOVERNMENT AND E-BUSINESSLABORATORY PROFILE

DESCRIPTION


-9-

1. e-Commerce2. IT Government3. IT Plan4. Corporate Resource Management5. Supply Chain Management, etc

1. (2015 - 2016) Implementasi Knowledge Management Pengetahuan Tradisional Berbasis Sumber Daya Genetik Indonesia 2. (2016) Implementasi E-Hajj Di Indonesia 3. (2016) Pengembangan Personalisasi Objek Pembelajaran Dalam E-Learning Dengan Teknik Support Vector Machine4. (2016) Model Eportfolio Untuk Serti�kasi Kompetensi Profesi Di Indonesia5. (2016) Implementasi Knowledge Management System Pengelola Aparatur Sipil Negara Di Indonesia, etc


Dana Indra Sensuse, Ph.D.Head of Laboratory

1. Achmad Nizar Hidayanto, Dr.2. Arief Ramadhan, Dr.3. Betty Purwandari, Ph.D.4. Dewi Mairiza, S.Kom., M.Kom.5. Fatimah Azzahro, M.Kom.6. Iik Wilarso, M.T.I., Dr.7. Imairi Eitiveni, M.Kom.8. Indra Budi, M.Kom., Dr.9. Muhammad Ri�i Shihab, M.Sc.10. Puspa Indahati Sandhyaduhita, M.Sc.

11. Putu Wuri Handayani, M.Sc.12. Satrio Baskoro Yudhoatmojo, M.T.I.13. Qorib Munajat, M.Sc.14. Yova Ruldeviyani, M.Kom.15. Yudho Giri Sucahyo, Ph.D.

LABORATORY MEMBERS

WEBSITE: http://egb.cs.ui.ac.id


-10-

Abstract

SOCIO-TECHNICAL ONTOLOGY MODELCASE STUDY: INDONESIAN GENETIC RESOURCE AND TRADITIONAL KNOWLEDGE

Mesnan Silalahi, Dana Indra Sensuse, Indra Budi

Indonesia biodiversity data and information, specially related to genetic resources and traditional knowledge were not managed optimally. �ose data were managed by some of research institution, university or community. It is unstructure, unable to access and not integrated. Knowledge Management System (KMS) used to integrat-ed all data and information and develop the system and database interoperability. Ontology support KMS devel-opment in semantic web based application, socio-techni-cal approach is used for ontology development model by providing the necessary tools for web-based communica-tion and collaboration among participants.

IntroductionOntology development requires consensus in shared meaning of concepts built. Most of ontology engineering practices are ignoring the principle of methodology. And most of them also do not aware on knowledge holders in the community (social) and between the computer system (technical). In this study, socio-technical approach is used to generate the ontology. �is approach focusses in human and the �nal objective is that ontology model would be widely accepted and used repeatedly in variety of interests.

Methodology for Ontology engineering development : 1. Literature Review 2. Focus Group Discussion 3. Web Portal Development4. Ontology Construction5. Brainstorming for Web Semantic Application Development6. Data Converting to RDF �le7. Deployment online version of semantic web8. Evaluation and Dissemination

Result analysis determine Indonesian Medicinal Plants ontology will be developed include aspects of taxonomy, Pharmacology, cultivation, conservation, health services and traditional knowledge. Hence, the semantic web applications have functionality such as: selection management queries, register competency questions, RDF data display, drilldown scheme, chema concepts and ontology properties. �ere is a page to display a list of medicinal plants native to Indonesia which can lead to web pages linked data. It contains detailed data from a species of medicinal plants.

Result

E-GOVERNMENT AND E-BUSINESSRESEARCH DISSEMINATION

MACHINE LEARNING AND COMPUTER VISIONLABORATORY PROFILE

DESCRIPTION


-11-


M Ivan Fanany, Ph.D.Head of Laboratory

DESCRIPTION

1. Aniati Murni Arymurthy , M.Sc., Prof.2. Arief Ramadhan, Dr.3. Ary Noviyanto, M.Kom.4. Dadan Hardianto, M.Kom.5. Denny, Ph.D.6. Dina Chahyati, M.Kom.7. Hisyam Fahmi, M.Kom.8. Ika Al�na, M.Kom.9. Muhammad Rahmat Widyanto, Dr.

10. Suryana Setiawan, M.Sc., Ph.D.11. T Basaruddin, Ph.D., Prof.12. Wisnu Jatmiko, Dr.Eng.

LABORATORY MEMBERS

WEBSITE:

�is lab focuses on research related to the manipulation, analysis, and interpretation of data in the form of image or picture and also video. �e methods used are very diverse, ranging from method that are processing detailed information stored at the pixel level to methods that are geometrically divide the image and the video into several regions to form a pattern of thematic/semantic to be represented.

1. e-Health (multi-lab )2. Parallel Processing3. Biomedic4. Remote Sensing5. Intelligent Multimedia Information Processing 6. Agriculture, e-Livestock7. Precise Farming8. Twitter Sentiment Analysis9. Social Robotic, etc

1. (2015-2016) Sistem Pendeteksi Kecurangan Dalam Ujian Berbasis Multi Kamera Dan Komputasi Awan 2. (2015-2016) Learning Analytics To Investigate Learning Patterns And Develop Intervention Tool In Online Learning Environment 3. (2015-2016) Visualisasi Dan Analisa Perubahan Struktur Cluster Dan Pola Migrasi Pada Data Menggu-nakan Self-Organizing Maps Dan Delaunay Triangula-tion 4. (2016) Pengembangan Aplikasi Repositori Pengenalan Motif Batik Indonesia Berbasis Clustering Keypoint Pada Ruang Hough5. (2015) Sistem Informasi Geogra�s Lahan Sawah dan Produksi Beras Nasional Berdasarkan Citra Inderaja Multi Sensor

http://mlcv.cs.ui.ac.id


-12-

AbstractGeometric Pattern

Batik Motif Primitive Pattern

DESCRIPTION

CLUSTERING KEYPOINT IN HOUGH SPACE FOR BATIK MOTIF RECOGNITIONAniati Murni Arymurthy, Hisar Maruli Manurung, Ida Nurhaida, Remmy Augusta Menzata Zen

Batik plays the meaningful role in Indonesia’s cultural heritage and gives signi�cant contribution to global art. Batik held the harmony of colors, motif with the variety of ornamentation, and design. �e similarities between batik patterns can be identi�ed, however, there are minor di�erences in detail, such as the use of typical basic shapes in batik motif. Object recognition task in batik is tried to �nd a particular motif object in a digital image. �e symmetrical property and the repeated object have become a central issue for determining the number of motif object in a batik image. Batik motif has composite object consists of shape, line, natural elements, and additional motif called isen. Based on the composition of elements, geometric pattern of batik motif can be recognized from position of the shape in vertical, horizontal, diagonal, and angle between shape.

Methodology

Output

Query Image

Template In Database

Si� Descriptor

MatchingVoting In

Hough Space

Si� Keypoint In Hough Space

System Output

Number of Objectand Composition of

Batik Motif

MACHINE LEARNING AND COMPUTER VISIONRESEARCH DISSEMINATION

�is Lab includes an interdisciplinary �eld that combines the skills and resources of information science, information technology, records management, archives and general management. �is Lab focuses the informa-tion as a resource. Books and magazines, data stored on local or remote computers, micro-forms, audio-visual media and information in the minds of people is a whole that are within the scope of this Lab.

INFORMATION MANAGEMENTLABORATORY PROFILE

DESCRIPTION


-13-

1. Enterprise Architecture2. Business/IT Alignment 3. IS/IT Strategic Planning4. IS/IT Bene�t Management5. IS/IT Governance6. IT Service Management7. IT Adoption & User Acceptance8. IT Project Management9. IT Risk/Security Management10. Decision Analytic & Support11. Knowledge Management, etc

1. (2015-2016) Pendekatan Implementasi Teknologi Informasi Berbasis Pengguna Pada Rumah Sakit Di Indonesia 2. (2016) Implementasi Knowledge Management System Pengelola Aparatur Sipil Negara Di Indonesia 3. (2015-2016) Implementasi Knowledge Management Pengetahuan Tradisional Berbasis Sumber Daya Genetik Indonesia.4. (2013-2014) Pengembangan Kerangkat Aplikasi ERP untuk Healthcare dengan Menggunakan Pendekatan Enterprise architecture5. (2010) Roadmap of Enterprise Resource Planning (ERP) Research for Small and Medium Enterprises (SMEs) in Indonesia


Bobby A Nazief, Ph.D.Head of Laboratory

1. Achmad Nizar Hidayanto, M.Kom., Dr.2. Ave Adriana Pinem, M.Kom.3. Betty Purwandari, Ph.D.4. Fatimah Azzahroh, M.Kom.5. Herdiansyah Ramadhan, M.Kom.6. Iik Wilarso, M.T.I., Dr.7. Ika Chandra Hapsari, M.Kom.8. Imairi Eitiveni, M.Kom.9. Indra Budi, M.Kom., Dr.

10. M Ri�i Shihab, M.Sc.11. Nur Fitriah A Budi, M.Kom.12. Petrus Mursanto, Dr. Ir.13. Puspa Indahati Sandhyaduhita, M.Sc.14. Putu Wuri Handayani, M.Sc.15. Satrio Baskoro Yudhoatmojo, M.T.I.16. Qorib Munajat, M.Sc.

LABORATORY MEMBERS

WEBSITE: http://im.cs.ui.ac.id


-14-

Abstract

Examining the Relationship of Payment System Characteristics and Behavioral Intention in E-Payment Adoption: A Case of Indonesia

Achmad Nizar Hidayanto, Luqman Syauqi Hidayat, Puspa Indahati Sandhyaduhita, Putu Wuri Handayani

INFORMATION MANAGEMENTRESEARCH DISSEMINATION

�is study is conducted to analyse factors that in�uence the behavioural intention to use e-payment system on e-commerce in Indonesia. �e proposed model in this research combines behavioural theory of technology acceptance in terms of behavioural beliefs, social in�uences, and personal innovative-ness with the characteristics of an ideal payment system. �e model was tested by the structural equation modelling (SEM) using LISREL 8.8 so�ware. �e analysis result of 203 respon-dents showed that Indonesian customers tend to only consider the advantages they gain when adopting e-payment and ignore the risks associated with the technology. Concerning e-pay-ment system characteristics, it was also proven that ease of use, privacy, trust, security, and convertibility in�uence directly and indirectly the intention to adopt e-payment.

Introduction

Despite a relatively high increase of transactions volume, public interest in Indonesia in conducting online transactions is still low. According to Mi�achul (2012), online shopping transactions in Indonesia were performed by around 6% only of the total 50 million internet users in Indonesia. Most customers in Indonesia visit online shopping sites for product-browsing and/or price comparison only as revealed by a survey conducted by the Daily Social that showed in 2011, 26% of the respondents visited websites to browse products only while 25% of the respondents used e-commerce to compare prices before buying o�ine, and only 38% of the respondents compared prices and eventually bought products online through e-commerce (Baskoro, 2011). From prior research, there are many factors that in�uence customers in conducting online shopping viz. security and privacy concern (Chen and Barnes, 2007; Choia and Geistfeld, 2004; Sahney et al., 2013; Tsiakis and Sthephanides, 2005), vendor image (Chen and Barnes, 2007; Sahney et al., 2013), costs (Kim and Kim, 2004), incentive programme (Kim and Kim, 2004), site quality (Baia et al., 2008; Kim and Kim, 2004), experience (Chen and Barnes, 2007), perceived usefulness (Chen and Barnes, 2007), etc. It was also found that the most dominant factors are those especially related to security and privacy concern. �ere are also other factors that may in�uence the low adop-tion of e-payment, particularly those related to the type of (e-)payment provided (Meskaran et al., 2010). Most likely, the selection of e-payment types in e-commerce services is closely related to the design characteristics of the e-payment system. For an online e-payment to be successful, its design should meet the users’ need (Sahut, 2008). It can be argued that customers would expect an ideal e-payment system which is easier for them to use so that eventually they are willing to adopt the payment system. Some prior research on epayment models focused mostly on behavioural theories of technology adoption in general or by considering individual and social factors. �erefore, we are interested to conduct a study especially to analyse e-payment system characteristics and the correlation with technology adoption behaviour.

Conceptual Model

Results

�e most dominant factor that directly a�ects behavioural intention to adopt e-payment is relative advantage, followed by ease of use and trust to the system. �ese three factors have a signi�cantly direct impact on behavioural intention of consumers to adopt e-payment systems. Relative advantage as the positive utility has a considerable role in the adoption of e-payment system. In contrast, perceived risk as the negative utility in behavioural beliefs does not give signi�cant e�ect on the intention of Indonesian consumers to use e-payment systems. As a result, we can infer that Indonesian consumers can be typically characterised by their sole consideration for the advantages they will get and subsequently rule out risks for adopting a new technology. Security, privacy, and convertibility issues were also proven to be determinants of e-payment adoption, although the e�ect is indirect. Social in�uences also have an indirect e�ect to e-payment adoption through relative advantages. Consequently, e-payment service providers should plan awareness programmes regarding the bene�ts of e-payment usage so that customers are willing to invite their friends to use e-payment.

UI Depok Campus Faculty of Computer ScienceUI Campus, Depok, West java 16424

UI Salemba Campus Kav. Salemba 4, Jakarta 10430UI Campus, Depok, West java 16424

Phone: +62 21 786 3419 (Depok), 310 6014 (Salemba)Fax: +62 21 786 3415 (Depok), 310 2774 (Salemba)

E-mail: [email protected]

reliable so˜ware engineering information management ... · computer network, architecture and high...

Documents